SOR_FORTRAN

一种确定多目标无功规划补偿点的方法，具有实用性。(A goal to identify many points of reactive power compensation planning method is practical.)

说明：  MATLAB电机仿真精华50例pdf电子书及其源代码(MATLAB simulation of the essence of 50 cases of motor and its source code pdf ebook)

对解列的一个网络，判断出其子系统的个数及每个子系统的节点及其支路(For splitting a network, determine the number of its subsystems and each subsystem node and branch)

In order to minimize power losses caused by high current and improve the voltage profile in the network distribution, the introduction of dispersed generations also called productions decentralized in distribution network (DG) plays an important role. The installation of DGs directly affects the power requested or purchased. The sizing and placement of DGs in the system must be optimal because a wrong choice has a negative impact on the system behavior. To solve this combinatorial problem, an algorithm known as Firefly algorithm is proposed in this paper. This is a meta-heuristic algorithm inspired by the behavior of fireflies flashing. The main objective of firefly flash is to act as a signaling system to attract other fireflies. Networks tested IEEE69-bus and IEEE33-bus are used to evaluate the effectiveness of this method. The results are compared with those obtained by genetic algorithm (GA) to IEEE69-bus, and Shuffled frog leaping algorithm (SFLA) for IEEE 33-bus.

说明：  BP神经网络的设计实例(MATLAB编程) (BP neural network design example (MATLAB Programming))

虚拟的鼠标控制，适合初学者用来分析源码，实际当然没有什么用，测试通过(virtual mouse control, best for those green hands. It is not applicable for those experienced programmers.)

Program simulating the 2D flow of a Newtonian fluid between two parallel plates using finite diference method.

对具有随机噪声的二阶系统的模型辨识，进行标幺化以后系统的参考模型差分方程为 (7.90) 式中， 为随机噪声。由于神经网络的输出最大为1，所以，被辨识的系统应先标幺化，这里标幺化系数为5。利用图7.5正向建模(并联辨识)结构，神经网络选用3-9-9-1型，即输入层i，隐层j包括2级，输出层k的节点个数分别为3、9、9、1个； (Model identification of two order systems with stochastic noise)

Differential PSK (DPSK) 􀂄 Inexpensive 􀂄 Quadrature Phase Shift Keying (QPSK) 􀂄 Twice as spectrally efficient than BPSK 􀂄 Offset QPSK (OQPSK) 􀂄 reduce envelope variation 􀂄 π/4 QPSK 􀂄 reduces envelope variations to a lesser extent than OQPSK can be noncoherently detected

压缩感知，又称压缩采样，压缩传感。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号。(Compressed sensing, also known as compressed sampling, compressed sensing. It as a new sampling theory, it is through the development signal sparse characteristics under conditions of far less than the Nyquist sampling rate, with a random sampling obtain discrete samples of the signal, and then through a perfect reconstruction of the signal of the non-linear reconstruction algorithm.)